1 files changed, 149 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/Workload.hpp b/src/backends/backendsCommon/Workload.hpp
new file mode 100644
index 0000000000..309d53f48e
--- /dev/null
+++ b/src/backends/backendsCommon/Workload.hpp
@@ -0,0 +1,149 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "WorkloadData.hpp"
+#include "WorkloadInfo.hpp"
+
+#include <Profiling.hpp>
+
+#include <algorithm>
+
+namespace armnn
+{
+
+/// Workload interface to enqueue a layer computation.
+class IWorkload
+{
+public:
+    virtual ~IWorkload() {}
+
+    virtual void Execute() const = 0;
+};
+
+// NullWorkload used to denote an unsupported workload when used by the MakeWorkload<> template
+// in the various workload factories.
+// There should never be an instantiation of a NullWorkload.
+class NullWorkload : public IWorkload
+{
+    NullWorkload()=delete;
+};
+
+template <typename QueueDescriptor>
+class BaseWorkload : public IWorkload
+{
+public:
+
+    BaseWorkload(const QueueDescriptor& descriptor, const WorkloadInfo& info)
+        : m_Data(descriptor)
+    {
+        m_Data.Validate(info);
+    }
+
+    const QueueDescriptor& GetData() const { return m_Data; }
+
+protected:
+    const QueueDescriptor m_Data;
+};
+
+// TypedWorkload used
+template <typename QueueDescriptor, armnn::DataType... DataTypes>
+class TypedWorkload : public BaseWorkload<QueueDescriptor>
+{
+public:
+
+    TypedWorkload(const QueueDescriptor& descriptor, const WorkloadInfo& info)
+        : BaseWorkload<QueueDescriptor>(descriptor, info)
+    {
+        std::vector<armnn::DataType> dataTypes = {DataTypes...};
+        armnn::DataType expectedInputType;
+
+        if (!info.m_InputTensorInfos.empty())
+        {
+            expectedInputType = info.m_InputTensorInfos.front().GetDataType();
+
+            if (std::find(dataTypes.begin(), dataTypes.end(), expectedInputType) == dataTypes.end())
+            {
+                BOOST_ASSERT_MSG(false, "Trying to create workload with incorrect type");
+            }
+            BOOST_ASSERT_MSG(std::all_of(std::next(info.m_InputTensorInfos.begin()),
+                                         info.m_InputTensorInfos.end(),
+                                         [&](auto it){
+                                             return it.GetDataType() == expectedInputType;
+                                         }),
+                             "Trying to create workload with incorrect type");
+        }
+        armnn::DataType expectedOutputType;
+
+        if (!info.m_OutputTensorInfos.empty())
+        {
+            expectedOutputType = info.m_OutputTensorInfos.front().GetDataType();
+
+            if (!info.m_InputTensorInfos.empty())
+            {
+                if (expectedOutputType != expectedInputType)
+                {
+                    BOOST_ASSERT_MSG(false, "Trying to create workload with incorrect type");
+                }
+            }
+            else if (std::find(dataTypes.begin(), dataTypes.end(), expectedOutputType) == dataTypes.end())
+            {
+                BOOST_ASSERT_MSG(false, "Trying to create workload with incorrect type");
+            }
+            BOOST_ASSERT_MSG(std::all_of(std::next(info.m_OutputTensorInfos.begin()),
+                                         info.m_OutputTensorInfos.end(),
+                                         [&](auto it){
+                                             return it.GetDataType() == expectedOutputType;
+                                         }),
+                             "Trying to create workload with incorrect type");
+        }
+    }
+};
+
+template <typename QueueDescriptor, armnn::DataType InputDataType, armnn::DataType OutputDataType>
+class MultiTypedWorkload : public BaseWorkload<QueueDescriptor>
+{
+public:
+
+    MultiTypedWorkload(const QueueDescriptor& descriptor, const WorkloadInfo& info)
+        : BaseWorkload<QueueDescriptor>(descriptor, info)
+    {
+        BOOST_ASSERT_MSG(std::all_of(info.m_InputTensorInfos.begin(),
+                                     info.m_InputTensorInfos.end(),
+                                     [&](auto it){
+                                         return it.GetDataType() == InputDataType;
+                                     }),
+                         "Trying to create workload with incorrect type");
+        BOOST_ASSERT_MSG(std::all_of(info.m_OutputTensorInfos.begin(),
+                                     info.m_OutputTensorInfos.end(),
+                                     [&](auto it){
+                                         return it.GetDataType() == OutputDataType;
+                                     }),
+                         "Trying to create workload with incorrect type");
+    }
+};
+
+template <typename QueueDescriptor>
+using FloatWorkload = TypedWorkload<QueueDescriptor,
+                                    armnn::DataType::Float16,
+                                    armnn::DataType::Float32>;
+
+template <typename QueueDescriptor>
+using Float32Workload = TypedWorkload<QueueDescriptor, armnn::DataType::Float32>;
+
+template <typename QueueDescriptor>
+using Uint8Workload = TypedWorkload<QueueDescriptor, armnn::DataType::QuantisedAsymm8>;
+
+template <typename QueueDescriptor>
+using Float16ToFloat32Workload = MultiTypedWorkload<QueueDescriptor,
+                                                    armnn::DataType::Float16,
+                                                    armnn::DataType::Float32>;
+
+template <typename QueueDescriptor>
+using Float32ToFloat16Workload = MultiTypedWorkload<QueueDescriptor,
+                                                    armnn::DataType::Float32,
+                                                    armnn::DataType::Float16>;
+
+} //namespace armnn